Tips & Tricks

The purpose of this segment is to share some of our favorite tools for working with data in R. We will focus on packages that are less popular than the Greatest of All Times (e.g. tidyverse and its associated ggplot2, dplyr, tidyr, etc.) though we highly encourage you to check these out!

here: no more getting lost in file paths

As we introduced in the previous module, here is an excellent package that’s worth getting to know because it will let you use relative as opposed to absolute pathnames. This will simplify importing and exporting files as well as sharing them with others.

How to install

install.packages("here")

How to use

library(here)
## here() starts at C:/Users/sbrei/Documents/R_Projects/Collabs/BGSS_Retreat_2021
here::here()   # once you call the package with the library(here) call, you can use this function to remind you where your project root begins.
## [1] "C:/Users/sbrei/Documents/R_Projects/Collabs/BGSS_Retreat_2021"

revisit “here” package description

Artwork by Allison Horst

magrittr: these pipes will make your work flow

patchwork: make your figures nice and cozy

performance: evaluate your general linear models in a flash

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